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Sensors 2017, 17(3), 542; doi:10.3390/s17030542

High Resolution Turntable Radar Imaging via Two Dimensional Deconvolution with Matrix Completion

1
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, University of Science and Technology of China, Hefei 230027, China
2
Academy of Photoelectric Technology, Hefei University of Technology, Hefei 230009, China
*
Author to whom correspondence should be addressed.
Academic Editor: Ram M. Narayanan
Received: 15 January 2017 / Revised: 1 March 2017 / Accepted: 3 March 2017 / Published: 8 March 2017
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [3423 KB, uploaded 10 March 2017]   |  

Abstract

Resolution is the bottleneck for the application of radar imaging, which is limited by the bandwidth for the range dimension and synthetic aperture for the cross-range dimension. The demand for high azimuth resolution inevitably results in a large amount of cross-range samplings, which always need a large number of transmit-receive channels or a long observation time. Compressive sensing (CS)-based methods could be used to reduce the samples, but suffer from the difficulty of designing the measurement matrix, and they are not robust enough in practical application. In this paper, based on the two-dimensional (2D) convolution model of the echo after matched filter (MF), we propose a novel 2D deconvolution algorithm for turntable radar to improve the radar imaging resolution. Additionally, in order to reduce the cross-range samples, we introduce a new matrix completion (MC) algorithm based on the hyperbolic tangent constraint to improve the performance of MC with undersampled data. Besides, we present a new way of echo matrix reconstruction for the situation that only partial cross-range data are observed and some columns of the echo matrix are missing. The new matrix has a better low rank property and needs just one operation of MC for all of the missing elements compared to the existing ways. Numerical simulations and experiments are carried out to demonstrate the effectiveness of the proposed method. View Full-Text
Keywords: radar imaging; deconvolution; matrix completion; undersampled data radar imaging; deconvolution; matrix completion; undersampled data
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Lu, X.; Xia, J.; Yin, Z.; Chen, W. High Resolution Turntable Radar Imaging via Two Dimensional Deconvolution with Matrix Completion. Sensors 2017, 17, 542.

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